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We’re looking for an experienced interim to help a busy finance team streamline and automate their month-end data validation process. This role will take ownership of diagnosing the data pain points, designing code-based solutions, and improving accuracy, speed, and control.
Key responsibilities:
Sit within the finance function to map existing data flows and identify recurring data errors across multiple systems.
Diagnose the root cause of data mismatches between source systems and reporting tools.
Develop scripts or code (e.g. Python, SQL, VBA, Power Query) to automate data validation and exception reporting.
Partner with finance users to redesign controls and reconciliation logic to reduce manual effort and cycle time.
Upskill and coach the team on how to run and maintain new tools and checks.
Collaborate with IT/systems to embed fixes into upstream data processes where possible.
Deliver measurable improvement in month-end speed, data quality, and confidence in management reporting.
Ideal profile:
Qualified accountant or data-savvy finance professional with strong analytical and systems background.
Hands-on experience coding or scripting to solve data problems (Python, SQL, VBA, RPA, etc.).
Strong understanding of finance processes, reconciliations, and data integrity.
Comfortable operating autonomously in a project or interim capacity, with a focus on delivery.